Software Engineer, DISCO

• 5-7+ years of experience in software development, with a demonstrated track record in SaaS or similar environments
• 3+ years of professional experience with each of the following: Service Oriented Architecture, Docker-based services, micro-services, API and Data Model Design or Implementation
• Experience in playing key roles (for example: development, testing, design, product interfacing, etc) in significant software projects, showing an ability to work effectively both independently and as part of a team
• Knowledge of ElasticSearch, NoSql Stores, Kafka, Columnar Databases, DataFlow or Pipeline Systems
• Knowledge of Design, implementation, and operation of data-intensive distributed systems
• Understanding of microservices design patterns and principles, with experience in developing microservices using containerized tools like Docker
• Knowledge of system architecture, design patterns, and best practices in software development
• Skilled in designing and operating software in a Cloud Provider, such as AWS, Azure, or GCP
• Skilled in cloud-based data storage, such as: Relational Databases, NoSQL Stores, data caches, etc
• Skilled in analytical abilities and problem-solving, capable of addressing complex technical challenges
• Ability to adapt to new technologies and methodologies, and a mindset geared towards innovation and continuous improvement
• Effective communication and teamwork skills, essential for working in a dynamic and collaborative environment with various stakeholders and team members
• Skilled in programming languages and frameworks commonly used in SaaS development. In particular, Java/Kotlin, Python, C#
• Familiarity with server management, network configurations, and an understanding of cloud services (like AWS, Azure, or Google Cloud)

Desirable

• The Software Engineer III (Platform) is an experienced engineer that handles complex tasks and contributes significantly to their team's goals
• They are expected to start leading small projects or components, while building feature sets / capabilities that are well-crafted and follow Architecture Quality Attributes
• Advanced Software Development: Contributes significantly to the development, and implementation of complicated software solutions, ensuring functionality, scalability, testability and reliability
• Starts helping with System Design & Grooming
• Code Quality and Optimization: Upholds and enhances code quality through rigorous review processes, optimization techniques, and adherence to best practices
• Innovative Problem Solving: Addresses complex technical challenges with innovative solutions
• Collaboration and Communication: Works effectively within the engineering team and cross-functional teams, collaborating with other engineers, product managers, and stakeholders
• Continuous Learning and Adaptation: Stays updated with the latest technology trends and advancements, continually enhancing skills and knowledge
• Technical Documentation: Creates and maintains comprehensive technical documentation, ensuring clarity and accessibility of information
• Data Platform Development: Builds, and maintains, scalable and robust data platforms to support analytics, machine learning, and business intelligence
• Orchestrates scaleout data pipelines that optimize serverless and containerized compute to balance cost, latency, and duration
• Contributes to algorithmically intensive data engines operating on streaming, large or multi-tenant datasets
• Troubleshoots systems, identify root causes, and rectify bugs
• Starts helping with Design
• Data Integration and ETL: Develops and optimizes ETL (Extract, Transform, Load) processes and data integration pipelines
• Ensures efficient data flow across various sources and systems